Exemples de projets

  • Traitement de tous les besoins en soins des patients sous dialyse
    Le comté de Stockholm (Suède), comme chaque pays ou région, expérimente un besoin continu de prise en charge des besoins en soins de santé de divers groupes de patients. Chaque groupe peut être considéré comme une sous-population, avec ses propres caractéristiques et défis spécifiques. Le projet de simulation à l’étude se concentrait sur les patients sous dialyse, un groupe qui doit se rendre dans des installations de soins de manière fréquente.
  • Improving Plane Maintenance Process with AnyLogic Agent-Based Modeling
    The military aircraft maintenance turnaround process (the in-between time when the aircraft touches down, is refueled, rearmed, and inspected, in order to be released) is complex and, being fairly time-consuming, includes multiple interactions and parallel workflows. Engineers from Lockheed Martin, one of the largest companies in the aerospace, defense, security, and technologies industry, used AnyLogic simulation modeling to improve decision making in the entire military airplane turnaround process and evaluate the impact of process changes on turnaround time.
  • Une compagnie aérienne américaine majeure décide de NE PAS facturer de frais supplémentaires
    Une compagnie aérienne américaine majeure voulait explorer plusieurs options afin de générer de nouveaux profits à l’aide de produits accessoires ou de modifications de politiques existantes. Bien que la génération du revenu constitue une ressource évidente à court terme, avant d’appliquer un changement de politique, la compagnie aérienne a préféré évaluer l’impact de la perception à long terme sur l’action de la marque, les parts de marché et la fidélité du consommateur.
  • Modeling and Optimization of Oil Production Using AnyLogic Fluid Library
    Canada is the third largest country to have oil reserves. However, most of the oil is in oil sand – the mixture of sand, oil, and water – which has to be heated up with steam to emit the oil. It is costly to maintain such a distribution system, and outages may lead to disruptions in steam injection and oil production. Stream Systems company applied AnyLogic simulation modeling to optimize expenditures and capture production lags
  • Modélisation du système de Back Office de la Banca d'Italia
    La Banca d'Italia traite une certaine quantité de transferts de crédits manuels chaque année. Ces transferts ne peuvent être traités automatiquement et requièrent deux divisions d’employés dans le back office de la banque. La banque voulait déterminer si la fusion de ces deux divisions serait profitable.
  • Modeling the Cladding Leak Detection Shop of a Nuclear Reactor's Module
    The cladding leak detection shop is part of an automated line of fuel assembly production. Leak control is based on heating the fuel element groups. While warming up, defective units eject the control gas, which is detected by a leak locator. The defected group is divided into two parts. Each part is screened in the same way until the leaking fuel element is found.
  • Optimization of Utility Companies’ Mutual Assistance Using Agent-Based Modeling
    When people are impacted by a natural or man-made disaster, utility companies look for ways to provide resources as soon as possible, and reduce outage time. To assist and better coordinate with each other, Canadian companies from closely located territories created alignments for mutual assistance. Engineers from York University applied simulation modeling to provide the utility companies with a better decision making tool for managing the mutual assistance process.
  • Optimizing Energy Systems with AnyLogic Simulation Modeling
    European Institute for Energy Research (EIFER) is an organization that deals with the decentralization of energy systems on various territories, and promotes renewable energy sources. Unlike classical energy systems, localized ones are less hierarchical, thus providing the prospects of power storage, renewable energy inclusions, and demand forecasting. EIFER engineers chose AnyLogic simulation modeling to find out how the localized systems should be planned and operated.
  • Outpatient Appointment Scheduling Using Discrete Event Simulation Modeling
    Indiana University Health Arnett Hospital, consisting of a full-service acute care hospital and a multispecialty clinic, faced poor statistics because the number of no-show patients (those who don’t show up for their scheduled appointments) rose dramatically to 30%. This was primarily connected to the fact that clinic schedules were driven by individual preferences of the medical staff, which led to increased variations in scheduling rules. To eliminate the problem, the client wanted to develop a scheduling methodology that would benefit the clinic, doctors, and patients.
  • Preventing “Bus Bunching” with Smart Phone Application Implementation
    In public transport, bus bunching refers to a group of two or more transit vehicles (such as buses or trains), which were scheduled to be evenly spaced running along the same route, instead running in the same location at the same time. Dave Sprogis, Volunteer Software Developer, and Data Analyst in Watertown, MA, used AnyLogic to confirm his thesis that preventing "Bus Bunching" would improve the experience of public transit bus riders.